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For Companies At a Glance
- Tasks: Analyse and report on data to drive decision-making and identify trends.
- Company: Join Marley, a dynamic leader in the UK Structural Warranty Insurance sector.
- Benefits: Enjoy a competitive salary, flexible working, gym membership, and private medical insurance.
- Why this job: Make an impact by influencing key business decisions with your data insights.
- Qualifications: Experience in data analysis, preferably in insurance, with strong numerical skills.
- Other info: Collaborative team environment with opportunities for professional growth.
The predicted salary is between 35000 - 60000 £ per year.
We’re a friendly, dynamic and growing business looking for a new colleague to join our team. Marley is at the forefront of innovation in the UK Structural Warranty Insurance sector, where we provide claims management and loss adjusting services to insurer clients and our customers who may be experiencing a defect with their home. Established in 2013, we have offices in Shrewsbury, London and Cheltenham and are going through a period of growth to meet the needs of our expanding client base and development of new services.
The postholder will be responsible for analysing, interpreting and reporting on management information data to identify trends, provide insight and assist senior management in key decision-making processes.
Location & Job Type
The position will be based in our Cheltenham Office with hybrid working available. Full-time (Mon-Fri).
Key Activities
- Produce and analyse large monthly data sets for multiple clients, creating regular reporting based on their requirements.
- Driving data led decision making across the business, working with stakeholders to help them understand how data can assist them as part of the overall data strategy for the business.
- Complete complex ad hoc data analysis requests for clients.
- Proven experience interacting directly with stakeholders at all levels, presenting data and communicating complex technical concepts clearly to non-technical audiences.
- Support the Underwriting and Claims Handling teams with relevant data and expert analysis as required.
- Play a key role in influencing and streamlining claims handling and underwriting processes, operational spend and client outcomes.
- Identify data issues and proactively seek appropriate resolutions.
- Actively participate in team discussions to highlight issues and promote group learning and deliver projects.
- Perform other tasks as reasonably required by Senior Management.
Skills And Experience
- Proven track record in data analysis within the insurance industry, with emphasis on analytic functions in insurance underwriting or statistical disciplines.
- Must be detail oriented, skilled in problem solving and experience of insurance underwriting concepts and rating tools is preferable.
- Strong numerical and analytical skills. Able to interpret, analyse and report on complex data sets with an ability to conduct, interpret and communicate qualitative/quantitative analysis.
- Strong data analysis skills with an ability to understand, visualise and trend large datasets to formulate evidence-based hypotheses and communicate findings to stakeholders.
- Experience with Power BI – creating and publishing dashboards, data transformation and visual conformity.
- Advanced Excel skills – proficiency with functions, lookups, index match, pivot tables and visualisations.
- Data science and predictive modelling – skills in using techniques to model past data for future predictions and understanding drivers of trends and patterns is preferable.
- Strong verbal and written communication skills.
- Ability to work collaboratively within a team to deliver projects and share knowledge and expertise.
- Able to quickly build positive and effective relationships with internal and external stakeholders.
- Prior experience working as part of a data team is preferred.
- Confident working independently under instruction.
- We prefer candidates with a degree, apprenticeship or diploma in a numerical discipline such as Mathematics, Statistics or Data Science.
- Bachelor’s degree (preferred), with GCSE English Language grade 5/C or equivalent.
Benefits
- Generous company pension.
- Cycle to work scheme.
- Tech scheme.
- Life Insurance (following successful completion of probationary period).
- Private Medical Insurance (following successful completion of probationary period).
- Flexible working.
- EV charging points (where available).
- Employee Assistance Programme.
- Free gym membership.
Data Analyst employer: Marley Risk Consultants Limited
Contact Detail:
Marley Risk Consultants Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Marley on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've tackled complex datasets in the past and how you can apply that experience to help Marley drive data-led decision making.
✨Tip Number 3
Show off your Power BI skills! If you’ve created dashboards or visualisations, bring examples to the interview. This will demonstrate your ability to communicate complex data clearly, which is key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Marley team.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role at Marley. Highlight your experience in data analysis, especially within the insurance industry, and showcase your skills with tools like Power BI and Excel. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Be sure to mention any relevant projects or experiences that demonstrate your analytical skills and ability to communicate complex data clearly.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include specific examples of how you've analysed data, identified trends, and influenced decision-making in previous roles. This will help us see your potential impact at Marley.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our friendly and dynamic team at Marley!
How to prepare for a job interview at Marley Risk Consultants Limited
✨Know Your Data
Before the interview, brush up on your data analysis skills, especially in relation to the insurance industry. Be prepared to discuss specific examples of how you've used data to influence decision-making or solve problems in previous roles.
✨Master Power BI and Excel
Since the role requires strong skills in Power BI and Excel, make sure you can confidently talk about your experience with these tools. Consider preparing a mini portfolio of dashboards or reports you've created to showcase your abilities.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The interviewers will want to see that you can communicate effectively with non-technical stakeholders, so think of examples where you've successfully done this in the past.
✨Show Your Team Spirit
Marley values collaboration, so be ready to share experiences where you've worked as part of a team. Highlight how you contributed to group discussions and learning, and how you can bring that collaborative spirit to their data team.
